2021
DOI: 10.3390/mi12080974
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Modeling Red Blood Cell Viscosity Contrast Using Inner Soft Particle Suspension

Abstract: The inner viscosity of a biological red blood cell is about five times larger than the viscosity of the blood plasma. In this work, we use dissipative particles to enable the proper viscosity contrast in a mesh-based red blood cell model. Each soft particle represents a coarse-grained virtual cluster of hemoglobin proteins contained in the cytosol of the red blood cell. The particle interactions are governed by conservative and dissipative forces. The conservative forces have purely repulsive character, wherea… Show more

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Cited by 8 publications
(5 citation statements)
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References 49 publications
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“…2(A) ). These measurements are then compared to the findings of Bohiniková et al, Fedosov et al, and Suresh et al [33,35,36]. The present simulation agrees with the…”
Section: Resultssupporting
confidence: 86%
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“…2(A) ). These measurements are then compared to the findings of Bohiniková et al, Fedosov et al, and Suresh et al [33,35,36]. The present simulation agrees with the…”
Section: Resultssupporting
confidence: 86%
“…al., Fedosov et al, and Suresh et al[33,35,36]. The present simulation agrees with the experimental result and the 3D simulations.…”
supporting
confidence: 91%
See 1 more Smart Citation
“…In our model, the cell contains a suspension of dissipative inner particles with radii 0.5 μm in order to represent the viscosity contrast between the inner and outer cell environments. The effective viscosity of the inner particle suspension achieved via DPD interactions, per our previous work [9], is ∼ 4.5 mPas, with the outer fluid viscosity being 1.5 mPas and density 1000 kg/m 3 .…”
Section: Cell Cluster Modelssupporting
confidence: 63%
“…Blood flow in capillaries [37] where vascular branching occurs also affects changes in the shape of the erythrocytes [38] . In the literature, publications can present numerical models of particle deformation that present simulations of single-particle behavior [39,40] . Although particle deformation models are available, they are computationally expensive, especially in flows where a large number of particles are present.…”
Section: Simulation Conditionsmentioning
confidence: 99%